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Updated: May 13, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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在通信错误下路线和聚合分散的联合学习

Weicai Li, Tiejun Lv, Wei Ni

    IEEE transactions on neural networks and learning systems
    |April 15, 2025
    PubMed
    概括

    路由和聚合 (R&A) 分散的联合学习 (D-FL) 通过通过既定的路径有效地路由数据来提高模型训练的准确性. 这种方法优于传统的八协议,特别是在没有参与节点的网络中.

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